Modeling pollutant dispersion in urban areas is becoming more and more important in order to design mitigation strategies allowing to improve air quality in areas with high density of buildings and human beings. Thanks to its interesting numerical properties (low numerical dispersion, easy implementation for parallel simulation), lattice Boltzmann method (LBM) has been used successfully in the field of urban flow simulation such as pollutant dispersion in recent years. However, in most of the application available in the literature, pollutants are mainly modeled with passive scalar transport equation neglecting inertia properties of particles. In the present work, we propose to extend previous work based on the hybrid recursive regularized lattice Boltzmann model (HRR LBM) to the simulation of particle transport using Eulerian approach. The diffusion inertia model proposed by Zaichik et al. [3] and allowing for the modeling of low inertia particles will be considered. The k-ω SST model will be used within the lattice Boltzmann solver in order to model turbulence considering hybrid RANS/LES version of the model as previously done in Mozaffari et al. The proposed model is used for pollutant dispersion in different configurations of urban areas with increasing complexity such as urban street canyon, cubic buildings array case and simplified urban areas. The different LB simulations are validated with experimental and numerical data available in the literature and the accuracy of obtained results is evaluated using the quality criteria introduced in Chang and Hanna. Depending on the data available in the literature, the accuracy and computational cost of the proposed method will be compared to Eulerian and Lagrangian aerosol model in the Navier Stokes framework to evaluate the interest of using LBM for such applications.